Imagine having systems that can: Read and categorize incoming emails. Extract information from documents. Answer common customer questions. Update CRM records. Generate reports. Connect multiple business applications. The interesting part isn't simply making an AI chatbot. It's connecting intelligence with actual business operations. Of course, reliability, permissions, and human review are essential when automating important workflows. If you could have one AI agent working for your business, what would you want it to do?

claude code made over 200 videos for me in 30 days and they just passed 1 MILLION views. i did not edit one of them 1,008,021 views across six brands. about 100,000 of those in the last 24 hours the breakdown easyflip: 590,210 from 46 videos my ai channel: 319,229 from 62 beckon: 39,092 from 28 a gaming channel i started on wednesday: 11,703 from 7 the biggest single video is a $5 yard sale pair of air jordans worth $29,000. 156,131 views. not an ai video, a flip video lol the honest part: facebook is about 55% of all of it, and views are not sales every night it finds the story, writes and fact checks the script, my voice clone reads it, the motion graphics get built in code, sound goes on last, then it posts to four platforms and points somewhere i walk through all 5 steps in the video and show the small numbers too if you had a video machine running while you slept, what would you point it at?

who need help with mobile app or website development, debugging, AI/ML, Agent, bots, automation, SAAS or ai training? Feel free to comment your questions or challenges in this post. I’d be happy to discuss your requirements, exchange ideas, and help you work through problems. Please include relevant details so we can have a productive discussion!

this video got me 100k views and claude code made the entire video end to end. there is no reason why you cant do this either opus 5.5 is your content creator the stack.. ----- 1/10 ----- I don't edit my long-form YouTube videos anymore. Every night at 4 AM, Claude Code wakes up, picks the topic, researches it, writes the script in my voice, makes the B-roll and graphics, and has a finished video waiting when I wake up. Here's the exact pipeline 🧵 ----- 2/10 ----- Step 1: the topic Two scouts run every morning: • a YouTube outlier scout (videos doing 5–10x their channel's normal views = proven demand) • an X scout for what's blowing up in AI right now It fills the next 7 days. My own ideas always come first. ----- 3/10 ----- Step 2: research + fact-check One agent pulls the primary sources: the company's posts, docs, repos and clips. A SEPARATE agent checks every claim and writes a "DO NOT SAY" list. No number goes in the video unless it's in the sources file. ----- 4/10 ----- Step 3: the script Written from a voice guide built from 10 of my real videos: my openers, my habits, my humor. Then a fresh agent grades it: facts, length, hook, one call to action. It fails? Rewrite. Fails 3 times? It stops and leaves me a note. ----- 5/10 ----- Step 4: the voice My ElevenLabs voice clone reads the script. Every chapter is checked to confirm the right model made it, because the old one sounds robotic. ----- 6/10 ----- Step 5: B-roll • A library of every clip I've used, tagged by company and product • Used clips rest 15 days before they come back • New footage from X via Grok + the X API, every post verified and credited Nothing repeats in a video. ----- 7/10 ----- Step 6: graphics 4–8 animated explainers, each with its own theme matched to the topic. Plus motion cards from @everestchris6's components, with a new look every video so they never feel the same. All built in code. No After Effects. ----- 8/10 ----- Step 7: assembly + QA A cue sheet lines every visual up with the exact words.

Trying to turn a business idea into a real software product using AI while letting your starter kits, prompt templates, and code snippets get scattered across random chat logs and loose text files is an absolute roadblock. When you're trying to leverage tools like Next.js, OpenClaw, Hermes, and Claude Code to ship in weeks instead of months without a centralized setup, letting your build files and development milestones get buried across a chaotic maze of open browser tabs and phone memos makes consistent execution nearly impossible. Scaling your software shipping pipeline means ditching the digital clutter and anchoring your workflows into a clean, systematic framework. Instead of juggling random notes, I now rely on a centralized Notion and spreadsheet ecosystem to track my curriculum progress, prompt vaults, and deployment milestones without the mental noise, paired with tool integration links like github.com and canva.com to support my development stack. Whenever I need to break down a tricky component build or structure a new feature roadmap—like designing a step-by-step prompt framework for rapidly deploying a Next.js starter kit—I drop my rough thoughts into floment.ai and instantly get three targeted variation options and execution guides in seconds flat. What project wins, app launches, or coding breakthroughs are you celebrating inside Shipping Skool right now?